Understanding Softmax Function

understanding-softmax-function.txt

#Concise implementation
def softmax(inputs):
    return np.exp(inputs) / np.sum(np.exp(inputs))
   
#Verbose implementation (for clarification/understanding)
def softmax_verbose(inputs):
    results = [np.exp(x) for x in inputs]
    summation = sum(results)    
    probabilities = [(x / summation) for x in results]
    return probabilities